Business need:

An electronics retailer had Monday morning meetings in which they assessed the state of their business and the market. Often insights were led by guesswork such as: last weekend’s good weather probably had a negative impact on sales. They required a tool that eliminated this guesswork and that would lead to decisions based on insight.


Building on our marketing mix model which analysed 19 key product groups at the store by store level, we were able to provide a weekly view of which factors were driving this week’s performance. Because we had modelled history of how various factors impacted sales, we were able to feed these factors in quickly to allow for smarter conversations in the Monday morning meetings.


The business was able to make informed decisions and work the controllable factors in their advantage over the following week to either build on good performance or avoid a run of bad results.


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